{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "349206fe",
   "metadata": {},
   "source": [
    "[代码参考链接-唐国梁Tommy-轻松学PyTorch 肺部感染图像识别](https://www.bilibili.com/video/BV1pp4y1r7uB)<br>\n",
    "[数据链接](https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18d6529c",
   "metadata": {},
   "source": [
    "### 1. 加载库"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e880b3a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torchvision\n",
    "from torchvision import datasets, transforms, models, utils\n",
    "from torch.utils.data import DataLoader\n",
    "from torchvision.utils import make_grid\n",
    "import torch.optim as optim\n",
    "from torchsummary import summary # 可视化训练过程\n",
    "\n",
    "import os\n",
    "import time\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "from sklearn.metrics import confusion_matrix\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f68ad962",
   "metadata": {},
   "source": [
    "### 2. 图片转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "897dd947",
   "metadata": {},
   "outputs": [],
   "source": [
    "image_transforms = {\n",
    "    'train': transforms.Compose([\n",
    "        transforms.RandomResizedCrop(size=300, scale=(0.8, 1.1)),  # 随机长宽比裁剪原始图片, 表示随机crop出来的图片会在的0.08倍至1.1倍之间\n",
    "        transforms.RandomRotation(degrees=10),  # 根据degrees随机旋转一定角度, 则表示在（-10，+10）度之间随机旋转\n",
    "        transforms.ColorJitter(0.4, 0.4, 0.4),  # 修改亮度、对比度和饱和度\n",
    "        transforms.RandomHorizontalFlip(),      # 水平翻转\n",
    "        transforms.CenterCrop(256),             # 根据给定的size从中心裁剪，size - 若为sequence,则为(h,w)，若为int，则(size,size)\n",
    "        transforms.ToTensor(),                  # numpy --> tensor\n",
    "        # 对数据按通道进行标准化（RGB），即先减均值，再除以标准差\n",
    "        transforms.Normalize([0.485, 0.456, 0.406],  # mean\n",
    "                             [0.229, 0.224, 0.225])  # std\n",
    "    ]),\n",
    "    \n",
    "    'val': transforms.Compose([\n",
    "        transforms.Resize(300),\n",
    "        transforms.CenterCrop(256),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], \n",
    "                             [0.229, 0.224, 0.225])\n",
    "    ]),\n",
    "    \n",
    "    'test': transforms.Compose([\n",
    "        transforms.Resize(size=300),\n",
    "        transforms.CenterCrop(size=256),\n",
    "        transforms.ToTensor(),\n",
    "        transforms.Normalize([0.485, 0.456, 0.406], \n",
    "                             [0.229, 0.224, 0.225])\n",
    "    ])\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8244684",
   "metadata": {},
   "source": [
    "### 3. 加载数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "36949b35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: 'NORMAL', 1: 'PNEUMONIA'}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据集所在目录路径\n",
    "data_dir = './chest_xray/chest_xray/'\n",
    "\n",
    "# train 路径\n",
    "train_dir = data_dir + 'train/'\n",
    "# val 路径\n",
    "val_dir = data_dir + 'val/'\n",
    "# test 路径\n",
    "test_dir = data_dir + 'test/'\n",
    "\n",
    "# 从文件中读取数据\n",
    "image_datasets = {\n",
    "    'train': datasets.ImageFolder(train_dir, transform=image_transforms['train']),  # 读取train中的数据集，并transform\n",
    "    'val': datasets.ImageFolder(val_dir, transform=image_transforms['val']),\n",
    "    'test': datasets.ImageFolder(test_dir, transform=image_transforms['test'])\n",
    "}\n",
    "\n",
    "# 定义 BATCH_SIZE\n",
    "BATCH_SIZE = 128    # 每批读取128张图片\n",
    "\n",
    "# DataLoader: 创建iterator, 按批读取数据\n",
    "dataloaders = { x: DataLoader(image_datasets[x], batch_size=BATCH_SIZE ,shuffle=True) \n",
    "               for x in ['train', 'val', 'test']}\n",
    "\n",
    "# 创建 label 键值对   # 获取标签的类别名称： normal 正常  PNEUMONIA 感染\n",
    "LABEL = dict((v, k) for k, v in image_datasets['train'].class_to_idx.items())  #  class_to_idx 返回的也是一个字典，\n",
    "LABEL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "121217c9",
   "metadata": {},
   "source": [
    "### ` train` 简介"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "55d51317",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset ImageFolder\n",
       "    Number of datapoints: 5216\n",
       "    Root location: ./chest_xray/chest_xray/train/\n",
       "    StandardTransform\n",
       "Transform: Compose(\n",
       "               RandomResizedCrop(size=(300, 300), scale=(0.8, 1.1), ratio=(0.75, 1.3333), interpolation=bilinear)\n",
       "               RandomRotation(degrees=[-10.0, 10.0], interpolation=nearest, expand=False, fill=0)\n",
       "               ColorJitter(brightness=[0.6, 1.4], contrast=[0.6, 1.4], saturation=[0.6, 1.4], hue=None)\n",
       "               RandomHorizontalFlip(p=0.5)\n",
       "               CenterCrop(size=(256, 256))\n",
       "               ToTensor()\n",
       "               Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
       "           )"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataloaders['train'].dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "cd7e6d84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['NORMAL', 'PNEUMONIA']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataloaders['train'].dataset.classes  # train下的类别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d103fc2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./chest_xray/chest_xray/train/'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataloaders['train'].dataset.root  # train下的路径"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "27b0c084",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正常图片数： 1342 \n",
      " ['NORMAL2-IM-1084-0001.jpeg', 'NORMAL2-IM-0526-0001.jpeg', 'NORMAL2-IM-0589-0001.jpeg', 'NORMAL2-IM-1086-0001.jpeg', 'NORMAL2-IM-0497-0001.jpeg', 'NORMAL2-IM-1001-0001.jpeg', 'NORMAL2-IM-0699-0001.jpeg', 'IM-0285-0001.jpeg', 'IM-0591-0001.jpeg', 'IM-0305-0001.jpeg']\n"
     ]
    }
   ],
   "source": [
    "# 肺部正常的图片\n",
    "files_normal = os.listdir(os.path.join(str(dataloaders['train'].dataset.root), 'NORMAL'))\n",
    "\n",
    "print('正常图片数：', len(files_normal),'\\n', files_normal[:10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "54f45692",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "感染图片数： 3876 \n",
      " ['person472_bacteria_2010.jpeg', 'person415_virus_847.jpeg', 'person1571_bacteria_4110.jpeg', 'person429_bacteria_1870.jpeg', 'person105_virus_193.jpeg', 'person1700_bacteria_4500.jpeg', 'person23_bacteria_91.jpeg', 'person647_bacteria_2539.jpeg', 'person1484_virus_2577.jpeg', 'person258_bacteria_1206.jpeg']\n"
     ]
    }
   ],
   "source": [
    "# 肺部感染的图片\n",
    "files_pneumonia = os.listdir(os.path.join(str(dataloaders['train'].dataset.root), 'PNEUMONIA'))\n",
    "                                          \n",
    "print('感染图片数：', len(files_pneumonia),'\\n', files_pneumonia[:10])                                          "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd8dcb60",
   "metadata": {},
   "source": [
    "### `val`简介"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "202aa9ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset ImageFolder\n",
       "    Number of datapoints: 16\n",
       "    Root location: ./chest_xray/chest_xray/val/\n",
       "    StandardTransform\n",
       "Transform: Compose(\n",
       "               Resize(size=300, interpolation=bilinear)\n",
       "               CenterCrop(size=(256, 256))\n",
       "               ToTensor()\n",
       "               Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
       "           )"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataloaders['val'].dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ca65dbf7",
   "metadata": {},
   "source": [
    "### `test` 简介"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b46f6697",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Dataset ImageFolder\n",
       "    Number of datapoints: 624\n",
       "    Root location: ./chest_xray/chest_xray/test/\n",
       "    StandardTransform\n",
       "Transform: Compose(\n",
       "               Resize(size=300, interpolation=bilinear)\n",
       "               CenterCrop(size=(256, 256))\n",
       "               ToTensor()\n",
       "               Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
       "           )"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataloaders['test'].dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93e29da1",
   "metadata": {},
   "source": [
    "安装库：`tb-nightly`,  `pip3 install tb-nightly`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c265534",
   "metadata": {},
   "source": [
    "### 4. 写入日志文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e40f2dd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.tensorboard import SummaryWriter\n",
    "# SummaryWriter()  向事件文件写入事件和概要\n",
    "\n",
    "# 定义日志\n",
    "log_path = 'logdir/'\n",
    "\n",
    "# 定义函数：获取tensorboard writer\n",
    "def tb_writer():\n",
    "    timeStr = time.strftime(\"%Y-%m-%d, %H:%M:%S\")  # 时间格式\n",
    "    writer = SummaryWriter(log_path+timeStr) # 写入日志\n",
    "    return writer\n",
    "\n",
    "writer = tb_writer()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "daba68de",
   "metadata": {},
   "source": [
    "#### 第一种方法，显示部分数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "44b28936",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "images, labels = next(iter(dataloaders['train']))    # 获取一批数据\n",
    "\n",
    "# 定义显示图片方法\n",
    "def image_show(img):\n",
    "    img = img / 2 +0.5 # 逆正则化\n",
    "    np_img = img.numpy()  # tensor --> numpy()\n",
    "    plt.imshow(np.transpose(np_img, (1,2,0)))  # 改变通道顺序， (0,1,2) --> (1,2,0)\n",
    "    plt.show()\n",
    "    \n",
    "grid = utils.make_grid(images)  # make_grid 的作用是将若干幅图像拼成一幅图像\n",
    "image_show(grid)  # 展示图片\n",
    "\n",
    "# 在summary中添加图片数据\n",
    "writer.add_image('X-Ray grid', grid, 0)  # add_image(tag, img_tensor, global_step=None, walltime=None, dataformats='CHW')\n",
    "\n",
    "writer.flush()  # 把事件文件写入到磁盘"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a352d290",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(tensor([[[-0.3712, -0.4397, -0.4911,  ..., -0.5082, -0.5082, -0.5082],\n",
       "          [-0.3712, -0.4739, -0.5596,  ..., -0.4739, -0.4911, -0.5253],\n",
       "          [-0.4054, -0.5424, -0.6109,  ..., -0.4226, -0.4739, -0.4911],\n",
       "          ...,\n",
       "          [ 0.0741,  0.1597, -0.0972,  ..., -0.3541, -0.1999, -0.1999],\n",
       "          [ 0.1254,  0.1939, -0.0801,  ..., -0.2684, -0.1486, -0.1828],\n",
       "          [ 0.1597,  0.2453, -0.0458,  ..., -0.2171, -0.0972, -0.1828]],\n",
       " \n",
       "         [[-0.2500, -0.3200, -0.3725,  ..., -0.3901, -0.3901, -0.3901],\n",
       "          [-0.2500, -0.3550, -0.4426,  ..., -0.3550, -0.3725, -0.4076],\n",
       "          [-0.2850, -0.4251, -0.4951,  ..., -0.3025, -0.3550, -0.3725],\n",
       "          ...,\n",
       "          [ 0.2052,  0.2927,  0.0301,  ..., -0.2325, -0.0749, -0.0749],\n",
       "          [ 0.2577,  0.3277,  0.0476,  ..., -0.1450, -0.0224, -0.0574],\n",
       "          [ 0.2927,  0.3803,  0.0826,  ..., -0.0924,  0.0301, -0.0574]],\n",
       " \n",
       "         [[-0.0267, -0.0964, -0.1487,  ..., -0.1661, -0.1661, -0.1661],\n",
       "          [-0.0267, -0.1312, -0.2184,  ..., -0.1312, -0.1487, -0.1835],\n",
       "          [-0.0615, -0.2010, -0.2707,  ..., -0.0790, -0.1312, -0.1487],\n",
       "          ...,\n",
       "          [ 0.4265,  0.5136,  0.2522,  ..., -0.0092,  0.1476,  0.1476],\n",
       "          [ 0.4788,  0.5485,  0.2696,  ...,  0.0779,  0.1999,  0.1651],\n",
       "          [ 0.5136,  0.6008,  0.3045,  ...,  0.1302,  0.2522,  0.1651]]]),\n",
       " 0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 获取一张图片tensor\n",
    "dataloaders['train'].dataset[4]  # 返回 tensor, label: 0 ;   获取第5张图片"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a188377",
   "metadata": {},
   "source": [
    "#### 第二种方法，显示一张图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b400fec6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Label:  NORMAL\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_sample(img, label):\n",
    "    print('Label: ', dataloaders['train'].dataset.classes[label])  # 输出标签\n",
    "    img = img.numpy().transpose((1, 2, 0))  # 改变通道顺序\n",
    "    mean = np.array([0.485, 0.456, 0.406])  # 均值\n",
    "    std = np.array([0.229, 0.224, 0.225])   # 标准差\n",
    "    img = img * std + mean  # 逆向复原\n",
    "    img = np.clip(img, 0, 1)  # np.clip()  将inp中的元素限制在（0，1）之间，最小值为0，最大值为1。小于min的等于min，大于max等于max\n",
    "    plt.imshow(img)\n",
    "    plt.axis('off') \n",
    "    \n",
    "show_sample(*dataloaders['train'].dataset[4])   # 显示第5张图片， * 为取值方法，需加上"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c49b8c41",
   "metadata": {},
   "source": [
    "#### 第三种方法，显示一张图片"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bf48b23d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_image(img):\n",
    "    plt.figure(figsize=(8,8))  # 显示大小\n",
    "    plt.imshow(img)   # 显示图片\n",
    "    plt.axis('off')\n",
    "    plt.show()\n",
    "    \n",
    "# 读取图片IM-0239-0001.jpeg\n",
    "one_image = Image.open(dataloaders['train'].dataset.root + 'NORMAL/IM-0239-0001.jpeg')\n",
    "\n",
    "show_image(one_image)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd08ea30",
   "metadata": {},
   "source": [
    "### 记录错误分类的图片\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "1e57493f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def misclassified_images(pred, writer, target, images, output, epoch, count=10):\n",
    "    misclassified = (pred != target.data)  # 判断是否一致\n",
    "    for index, image_tensor in enumerate(images[misclassified][:count]):\n",
    "        img_name = 'Epoch:{}-->Predict:{}-->Actual:{}'.format(epoch, LABEL[pred[misclassified].tolist()[index]],\n",
    "                                                             LABEL[target.data[misclassified].tolist()[index]]) # .data 需要加上\n",
    "        writer.add_image(img_name, image_tensor, epoch)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1ecbac00",
   "metadata": {},
   "source": [
    "### 5.  迁移学习：拿到一个成熟的模型`RESNET50`，进行模型微调\n",
    "<br>\n",
    "\n",
    "![](https://img-blog.csdnimg.cn/20190529172052544.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQyMjc4Nzkx,size_16,color_FFFFFF,t_70)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee408241",
   "metadata": {},
   "source": [
    "#### 自定义池化层"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "55e46e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "class AdaptiveConcatPool2d(nn.Module):\n",
    "    def __init__(self, size=None):\n",
    "        super(AdaptiveConcatPool2d,self).__init__()\n",
    "        size = size or (1, 1)  # 池化层卷积核大小，默认值为（1， 1）\n",
    "        \n",
    "        # 自适应算法能够自动帮助计算核的大小和每次移动的步长\n",
    "        self.avgPooling = nn.AdaptiveAvgPool2d(size)  # 自适应平均池化\n",
    "        self.maxPooling = nn.AdaptiveMaxPool2d(size)  # 最大池化\n",
    "    \n",
    "    def forward(self, x):\n",
    "        # 拼接 avg 和 max\n",
    "        return torch.cat([self.maxPooling(x), self.avgPooling(x)], dim=1)  # 拼接两个池化层，按维数 1 拼接"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cefdc844",
   "metadata": {},
   "source": [
    "#### 迁移学习，获取预训练模型，并替换池化层和全连接层"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8cbb85e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_model():\n",
    "    # 获取预训练模型 resnet50\n",
    "    model = models.resnet50(pretrained=True)  # 将模型下载下来\n",
    "    # 冻结模型参数\n",
    "    for param in model.parameters():\n",
    "        param.requires_grad = False\n",
    "    \n",
    "    # 替换最后2层：池化层和全连接层\n",
    "    # 池化层\n",
    "    model.avgpool = AdaptiveConcatPool2d()\n",
    "    \n",
    "    # 全接连层 \n",
    "    model.fc = nn.Sequential(nn.Flatten(),   # 拉平\n",
    "                            nn.BatchNorm1d(4096), # 256*6*6=4096 加速神经网络的收敛过程，提高训练过程中的稳定性\n",
    "                             nn.Dropout(0.5), # 丢掉部分神经元\n",
    "                             nn.Linear(4096, 512), # 全连接成处理\n",
    "                             nn.ReLU(),\n",
    "                             nn.BatchNorm1d(512),\n",
    "                             nn.Dropout(0.5),\n",
    "                             nn.Linear(512, 2),  # 2个输出\n",
    "                             nn.LogSoftmax(dim=1)  # 损失函数，将input转换成概率分布的形式，输出2个概率\n",
    "                            )\n",
    "    return model"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71f9a276",
   "metadata": {},
   "source": [
    "### 6.  定义训练函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "1a44e572",
   "metadata": {},
   "outputs": [],
   "source": [
    "def train_val(model, device, train_loader, val_loader, optimizer, criterion, epoch, writer):\n",
    "    model.train()\n",
    "    total_loss = 0.0\n",
    "    val_loss = 0.0\n",
    "    val_acc = 0\n",
    "    for batch_id, (images, labels) in enumerate(train_loader):\n",
    "        # 部署到 DEVICE 上\n",
    "        images, labels = images.to(device), labels.to(device)\n",
    "        \n",
    "        # 梯度置0\n",
    "        optimizer.zero_grad()\n",
    "        \n",
    "        # 模型输出\n",
    "        outputs = model(images)\n",
    "        \n",
    "        # 计算损失\n",
    "        loss = criterion(outputs, labels)\n",
    "        \n",
    "        # 反向传播\n",
    "        loss.backward()\n",
    "        # 更新参数\n",
    "        optimizer.step()\n",
    "        \n",
    "        # 累计损失\n",
    "        total_loss += loss.item() * images.size(0)   # image.size(0)= 128; * 128, 一批128张，算128张所有的损失\n",
    "        \n",
    "    # 平均训练损失\n",
    "    train_loss = total_loss / len(train_loader.dataset)\n",
    "    # 写入到writer中\n",
    "    writer.add_scalar('Training Loss', train_loss, epoch)\n",
    "    # 写入磁盘\n",
    "    writer.flush()\n",
    "    \n",
    "    \n",
    "    \n",
    "    # 验证集\n",
    "    model.eval()\n",
    "    with torch.no_grad():  # 不进行梯度更新，参数计算\n",
    "        for images, labels in val_loader:\n",
    "            images, labels = images.to(device), labels.to(device)\n",
    "            \n",
    "            outputs = model(images)  # 前向传播输出\n",
    "            \n",
    "            loss = criterion(outputs, labels)  # 损失\n",
    "            \n",
    "            val_loss += loss.item() * images.size(0)   # 累计损失\n",
    "            \n",
    "            _, pred = torch.max(outputs, dim=1) # 获取最大概率的索引，（是正常的还是感染）； pred 获得其索引\n",
    "            \n",
    "            correct = pred.eq(labels.view_as(pred))  # 返回： tensor([True, False, True, ... , False])\n",
    "            \n",
    "            accuracy = torch.mean(correct.type(torch.FloatTensor))  # 准确率， （类型转换）\n",
    "            \n",
    "            val_acc += accuracy.item() * images.size(0)  # 累计准确率\n",
    "            \n",
    "        # 平均验证损失\n",
    "        val_loss = val_loss / len(val_loader.dataset)\n",
    "        # 平均准确率\n",
    "        val_acc = val_acc / len(val_loader.dataset)\n",
    "        \n",
    "    return train_loss, val_loss, val_acc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc4bcce6",
   "metadata": {},
   "source": [
    "### 7. 定义测试函数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "062ca275",
   "metadata": {},
   "outputs": [],
   "source": [
    "def test(model, device, test_loader, criterion, epoch, writer):\n",
    "    model.eval()\n",
    "    total_loss = 0.0\n",
    "    correct = 0.0  # 正确数\n",
    "    with torch.no_grad():\n",
    "        for batch_id, (images, labels) in enumerate(test_loader):\n",
    "            images, labels = images.to(device), labels.to(device)\n",
    "            \n",
    "            outputs = model(images)\n",
    "            \n",
    "            loss = criterion(outputs, labels)\n",
    "            \n",
    "            total_loss += loss.item()\n",
    "            \n",
    "            _, predicted = torch.max(outputs, dim=1)\n",
    "            \n",
    "            correct += predicted.eq(labels.view_as(predicted)).sum().item()\n",
    "            \n",
    "            misclassified_images(predicted, writer, labels, images, outputs, epoch)\n",
    "            \n",
    "        avg_loss = total_loss / len(test_loader.dataset)\n",
    "        \n",
    "        accuracy = 100 * correct / len(test_loader.dataset)\n",
    "        \n",
    "        writer.add_scalar('Test Loss', total_loss, epoch)\n",
    "        writer.add_scalar('Accuracy', accuracy, epoch)\n",
    "        writer.flush()\n",
    "    \n",
    "    return total_loss, accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70379e3a",
   "metadata": {},
   "source": [
    "### 8. 定义训练流程"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "a47e2ca9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cuda\n"
     ]
    }
   ],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "\n",
    "print(device)\n",
    "\n",
    "# 模型部署到 device\n",
    "model = get_model().to(device)\n",
    "\n",
    "# 损失函数\n",
    "criterion = nn.NLLLoss()  # 多分类损失函数\n",
    "\n",
    "# 优化器\n",
    "optimizer = optim.SGD(model.parameters(), lr=0.001)\n",
    "\n",
    "# 定义训练流程函数\n",
    "def train_epochs(model, device, dataloaders, criterion, optimizer, epochs, writer):\n",
    "    # 输出信息\n",
    "    print('{0:>15} | {1:>15} | {2:>15} | {3:>15} | {4:>15} | {5:>15}'.format('Epoch', 'Train Loss', 'val_loss', 'val_acc', 'Test Loss', 'Test_acc'))\n",
    "    \n",
    "    # 初始最小的损失\n",
    "    best_loss = np.inf\n",
    "    \n",
    "    # 开始训练，测试\n",
    "    for epoch in range(epochs):\n",
    "        # 训练，return loss\n",
    "        train_loss, val_loss , val_acc = train_val(model, device, dataloaders['test'], dataloaders['val'], optimizer, criterion, epoch, writer)\n",
    "        \n",
    "        # 测试，return： loss+accuracy\n",
    "        test_loss, test_acc = test(model, device, dataloaders['test'], criterion, epoch, writer)\n",
    "        \n",
    "        # 判断损失是否最小\n",
    "        if test_loss < best_loss:\n",
    "            best_loss = test_loss  # 保存最小损失\n",
    "            \n",
    "            # 保存模型\n",
    "            torch.save(model.state_dict(), 'model.pth')\n",
    "            \n",
    "        # 输出结果\n",
    "        print('{0:>15} | {1:>15} | {2:>15} | {3:>15} | {4:>15} | {5:>15}'.format(epoch, train_loss, val_loss, val_acc, test_loss, test_acc))\n",
    "        writer.flush()\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "53892974",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          Epoch |      Train Loss |        val_loss |         val_acc |       Test Loss |        Test_acc\n",
      "              0 | 0.7778761172905947 | 0.6889474987983704 |             0.5 | 3.2375001311302185 | 68.58974358974359\n",
      "              1 | 0.7039781243373187 | 0.682306170463562 |             0.5 | 3.0442702770233154 | 74.03846153846153\n",
      "              2 | 0.648949309801444 | 0.6228770017623901 |            0.75 | 2.8162065744400024 | 76.6025641025641\n",
      "              3 | 0.5843179317621084 | 0.5698100924491882 |          0.8125 | 2.6107963919639587 | 79.6474358974359\n",
      "              4 | 0.5526210910234696 | 0.5118458867073059 |          0.8125 | 2.4396644830703735 |           81.25\n",
      "              5 | 0.5343105089970124 | 0.45404404401779175 |           0.875 | 2.2674317061901093 | 82.6923076923077\n",
      "              6 | 0.4955231119424869 | 0.3860872685909271 |          0.9375 | 2.150662809610367 | 85.57692307692308\n",
      "              7 | 0.47491931380369723 | 0.3534057140350342 |          0.9375 | 2.0406721234321594 | 86.69871794871794\n",
      "              8 | 0.4654803658143068 | 0.34616929292678833 |             1.0 | 1.9499348998069763 | 86.69871794871794\n",
      "              9 | 0.4342849117058974 | 0.3622022569179535 |             1.0 | 1.8774848580360413 | 87.17948717948718\n"
     ]
    }
   ],
   "source": [
    "epochs = 10\n",
    "train_epochs(model, device, dataloaders, criterion, optimizer, epochs, writer)\n",
    "writer.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "503dfd8c",
   "metadata": {},
   "source": [
    "### 9. 画出混淆矩阵"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "26e4260d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_confusion(cm):\n",
    "    plt.figure()\n",
    "    plot_confusion_matrix(cm, figsize=(12, 8), cmap=plt.cm.Blues)   # 参数设置\n",
    "    plt.xticks(range(2), ['Normal', 'Pneumonia'], fontsize=14)\n",
    "    plt.yticks(range(2), ['Normal', 'Penumonia'], fontsize=14)\n",
    "    plt.xlabel('Predicted Label', fontsize=16)\n",
    "    plt.ylabel('True Label', fontsize=16)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "a0071ec8",
   "metadata": {},
   "outputs": [],
   "source": [
    "def accuracy(outputs, labels):\n",
    "    # 计算精确度\n",
    "    _, preds = torch.max(outputs, dim=1)\n",
    "    correct = torch.tensor(torch.sum(preds == labels).item() / len(preds))\n",
    "    return correct"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "c4ae8b89",
   "metadata": {},
   "outputs": [],
   "source": [
    "def metrics(outputs, labels):\n",
    "    _, preds = torch.max(outputs, dim=1)\n",
    "    # precision, recall, F1\n",
    "    # 混淆矩阵\n",
    "    cm = confusion_matrix(labels.data.cpu().numpy(), preds.data.cpu().numpy())  # 固定格式\n",
    "    \n",
    "    plot_confusion(cm)\n",
    "    \n",
    "    # 获取tn, fp, fn, tp\n",
    "    tn, fp, fn, tp = cm.ravel()\n",
    "    \n",
    "    # 精准率\n",
    "    precision = tp / (tp+fp)\n",
    "    # 召回率\n",
    "    recall = tp / (tp+fn)\n",
    "    # f1\n",
    "    f1 = 2 * ((precision * recall) / (precision + recall))\n",
    "    return precision, recall, f1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54b9868c",
   "metadata": {},
   "source": [
    "#### 计算`testloader`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "76444a85",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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hyOOBIyJiaF8WI0mS1KXVibOrAxsBf4mIa4C/8eqjfTIzv9Lu4iRJ0sDVY0iJiL8Ae2bmPcDxDYsO6qZ7AoYUSZLUNovbkjKS6myyZGY7zkwrSZLUMsOHJEkq0pJCSndnmZUkSepzS5o4+9WImNnCOJmZn25HQZIkSbDkkLIFMLeFcdziIkmS2mpJIeXDmfn75VKJJElSAyfOSpKkIhlSJElSkQwpkiSpSD3OSfEEbpIkqZMMIpIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZCynEXEyIjIiNim07Wobx3zhX9hq0024H07b/1y21W/vIz37rQVI9dalcl/vLuD1Un9w+tWW4WL/+NgJl1+In+87ES23/zNAPzrPqOZdPmJ3P3zEzjlix/qcJXqrcHLe4URcS7w6frpfOBx4HLgK5n5/PKupwMeB9YBZna6EPWtj+2zH58++LMcddghL7e9bdPNGH/uJRx/9OEdrEzqP8740ke59rb7+OSxP2LI4JVY9TVD2WWbt/LBMe9ku4+fxkvz5rPWGqt1ukz10nIPKbXrgP2AIcC7gXOAYcC/dqie5SYzFwDTO12H+t7279qZx//62Kva3vq2TTpUjdT/vHa117DzVhvxmZMvAGDe/AU8O/tFDv3YuznjJ7/hpXnzAXjymdmdLFPLoFO7e+Zm5vTMfDwzLwYuAj4clS9FxCMR8WJE3BsR+3a9qGFXyUci4jcR8UJE3BcR72voM6bu84ZuXrdNU5/dI+Luel0TI2K9iBgdEfdExOyImBARwxvGGRQRJ0XE4xExt67vQ0tZX3MtK0XEjyLi0bqOh+rPwF1xkrQYI980nJnPzObsr+7L7T/9MuNO/iSrvmYoozYcwU5bbsTN5x/Dted8ka3fvkGnS1UvlfIf4YtUW1X+HTgYOAx4O3AqMD4i/qmp/ynAd4B/AO4ELomI3mzP+ypwBLA9sAbwM+Bk4FBgDLAZMLah/xeBY4EvA+8EfgFcHhFbLEN9g4BpwN7ApsAJwPHAgb14P5I0YAwevBJbbLI+P7x0Ijt+4pu88OJcjjnofQxeaRBrvm4Yu+x/Bsd/+wouPP2gTpeqXup4SImI7YBPAjcCRwGHZOY1mflovZXlh1ShpdG3M/PKzHyI6j/0NYEterH6kzJzYmZOBn4AvAs4NjPvyMy7gPOAXRv6HwOckZkXZ+aDmXkyMLFu71V9mTkvM0/OzDszc0pm/lddyye66x8Rh0bEXRFx19NPPdmLtyxJ/cO0Gc8w7X//zp1/qnar/uK6SWyxyfpMm/F3rrh+EgB3/c9jLFyYvMF5KSukToWU3erdKXOA24GbgTOA1wDX1MtmR8RsqnkqGzW9fnLD4yfq+xG9qKNxnBn1/b1NbSMAIuK1wJuAW5vGuIVqq0+v64uIz9bB48n6PR8JdLt9MjPPzsxtMnObNYev1dOQktTvzXhqFlOnP8NbN6x+vY7ZbmP+/JfpXHnTZEZv+zYARm0wgqFDBjPTeSkrpE5NnL2ZapfKPOCJzJwXEdvXy/YA/trUf15PzzMzIwJeCVwL6/to6D+khzoax816vOa2VoJcLkV9rxIRHwf+k2przG3Ac1RbjvZsYb0q2Oc/sz+33zqRZ56eyfbv3Igjv3wSr19jDb5y3FE8/dRMDvzkXrz9HZtzwaVXdrpUaYV11Dcv5SffOIChg1diyrSZHPqVC3n+xZcYP/ZT3HXp8bw0bwGH1BNrteLpVEh5ITMfbmq7D5gLbJiZNyzD2F37QNZpeLzFMowHQGY+FxFPADsB1zcs2pmq9t7aGbgjM7/b1RARzVuOtAI664fnd9u+2z95zgapXSY/OI2dP3X6Iu0Hndj9908rlk6FlEVk5qyIOAM4I6pNDzcDqwE7AAsz8+wWh3qY6lwkYyPiOGAkcGKbyvwP4GsR8RBwN7Av1SHUWy3DmA8CB0TE7lS17wOMBp5ZxlolSVqhFRNSaidRzQM5Bvg+1a6PScCiMbkH9a6jfYBxwD31648HJrShvu8Aq9f1rA08AHwkM+9ZhjHHU23puZhqF9VlwLcAp6NLkga0yGyeTqEVxeZbbJ0Trm+exyupXTZ+b/OBe5Labc6k792dmd1eKqbjhyBLkiR1x5AiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIhhRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSJKkIhlSJElSkQwpkiSpSIYUSZJUJEOKJEkqkiFFkiQVyZAiSZKKZEiRJElFMqRIkqQiGVIkSVKRDCmSJKlIkZmdrkG9FBFPAo91ug4tlTcAMztdhNSP+R1b8WyYmWt1t8CQIi1HEXFXZm7T6Tqk/srvWP/i7h5JklQkQ4okSSqSIUVavs7udAFSP+d3rB9xTookSSqSW1IkSVKRDClSPxARUyLimE7XIQ00fvf6liFFahAR50ZERsRJTe1j6vY3dKo2qTQN35eMiHkR8ZeIOCMihnW6tuVoW2Bcp4vorwwp0qLmAMdGRLcnF+qNiBjarrGkwlwHrAO8BTgR+BxwRkcrWo4y88nMfKHTdfRXhhRpUTcCU4CTeuoQEbtExB0RMSciZkTEtxuDSETcFBHfr/+qfBK4tWFrzO4RcXdEvBgREyNivYgYHRH3RMTsiJgQEcMbxto2Iq6NiJkR8VxE3BIRO/blByAthbmZOT0zH8/Mi4GLgA9HxNiI+FNE7BMRj0TErIi4onlrZEQcGBH31d+lByPiyIgY1LA8I+KjTa951S6Wus+/RsQvI+KFepxd6+/Wf0fE8xExKSK2ahpnr4i4NyLmRsTjEXFCRETTek6MiPH1d29qRBy7hFqOiojJ9TqnRcQ5EfH6ZfyMByxDirSohcBxwGcjYqPmhRGxLnA18EdgS+Bg4BPAqU1d9wUCeDewf0P7V4EjgO2BNYCfAScDhwJjgM2AsQ39VwcuqMfZDpgE/LoxyEgFeREYUj8eCXwc2BN4P9X35ZSujhHxGeAbVD//mwJHA1+m2hqztE4ELgH+Abirfvwjql0xWwJPAOc2rHtr4FLgcuCdVN/5fwMObxr3SOBeYCvgm8DpS/gjYSHV93sz4JNU39mzevF+BJCZ3rx5q29Uv8Qm1I9vBC6pH48Bkuq6IKcADwGDGl53ADAXWLV+fhMwuWnsrjE+0NB2eN22VUPbWOBPi6kxgL8B+za0TQGO6fTn521g3Rq/L/Xz7aium/Oz+ud4DvC6huUnAA83PP8rsF/TmEcA9zU8T+CjTX1e9fNe9zm14fk76rajGtpe/g7Xzy8CbmgadywwtWk9P23q8xBwYk+1dPMZ7Vb/bhjUUx9vPd/ckiL17MvAx+q/uBptCvwuMxc2tN0CDAVGNbTd3cO4kxsez6jv721qG9H1JCJG1JubH4yIZ4FZ9fINWn4nUt/Zrd5NOQe4HbgZ+Hy97LHMfLah7xPUP9v1nK/1gfH162dHxGzgNGCRLZgtaOV7Ba98tzYFbm0a4xZg3Yh4bQ/jvuo9dCci3hMRv6l3Dc2i2lIzFHjjkt+Cmg3udAFSqTLz9xFxGXA68PVWX9bw+Pke+sxr7p+ZzW2Nf0CcB6xNtdl5CtVfZddT/eKTOu1mql2V84Anun6W66kd85r6Nv5sd91/FrhtMeMn1dbDRkO66bfI96qHtlb+OG/8Hi/uPbxKRGwIXAX8kGoX1lNUu4l+it/XXjGkSIt3PHAf1SbbLvcDe0fEoIatKTsDLwGP9EENOwNfyMyrACJibaqjKaQSvJCZDy/tizJzRkQ8AWyUmecvpuuTNPy8t/Hn/35gp6a2nal298zq5ZjbUIWRIzNzAUBEfLD3JcqQIi1GZj4cEWcDX2xoHke133xcRJxJdejlacB3s28ORXwQ2Dci7gCGUW3ZeakP1iMtb18BzoqIvwO/ptpCshWwbmZ2TUS/ATgsIm4DFlBNtJ3ThnV/C7gzIsYCF1Od7+Roqj9Meushqq0sR0TE5cAOVL8r1EvOSZGW7GvA/K4nmTkN2J3qiIFJwI+pNucuyy+3xTkIWI1qjssl9fqm9NG6pOUmM8+h+vneD7gHmEi16+jRhm5HA3+hmoz+c+Ac4H/bsO4/AB8DPgL8ieoPjdOA7y7DmJOp/qA5imoL7CGAZ6NdBl5gUJIkFcktKZIkqUiGFEmSVCRDiiRJKpIhRZIkFcmQIkmSimRIkSRJRTKkSGpZRBwQEdlwmxUR90TE4RHRpyeHjIiR9ToPaGg7NyKmLOU4YyJibES09fdfPeYSz+kQETdFxC1tWF/X53HIso7VMGbWJzeTimBIkdQbHwN2pDoR1u+pLkV/cgfq+Dqw51K+ZgzVmU79/ScVztPiS+qNSQ3Xa7k2IkZRnWmz26ASEUOA+dnms0dmZl9cK0lSIfxLQlI73Am8NiJGNOyG+FxEnF5fRG4u8HqAiNgrIn4XES9ExN8j4tKI2KBxsIhYNSLGRcRTETE7In4FrNe80u5290TEsIg4LSIeiYi5ETE9Ii6LiLXrXRlfqbvO69pt1bTeb0bEoxHxUn1/QvOuoYjYMiImRsSciJgWESex6JV6e63efXZ7RDxdf0a/i4h/6qH70Ij4/xHxv/VnOiEiRnYz5qH1rrk5ETEzIn4UEWu2q2apL7glRVI7vJnq4m+zgVXrthOowsuhwErAnIj4LPB94CdU10RaHRgL/DYiNm+4+ux44OPAV+sx3kd1EbjFioihwG+Af6C6DsvvgNcBHwDWoLruy3rAwVRXvF3Q8NrBwH8Db6fajXQv1QXiTgLWpLqGDBHxBqqL3k0HPk0VwI4FXhW0ltHIutYpVL+n9wAmRMTumXlNU99/o7qG1IHACKoL8F0bEZtl5ry65tPq+r9T17ou8O/AOyLiXV1X7JWKk5nevHnz1tINOABIYGOq/zzXAP6F6j/7K+o+I+s+f6C+PljdvhrwLPDjpjHfTHVV5yPq5xvX4x3X1O/79bgHNLSdC0xpeH5Q3eefF/MextZ9Bje171e379LUfkJd34j6+Sn18/Ub+gwDZla/Upf4Gd4E3LIUn/mg+rO+FvhlQ3vX53wfMKihfae6/eCGfguAk5vG7er34Ya2BMZ2+ufMm7eum7t7JPXGn4F5wNPAOOAiqoDQ6IrMbJyDsiPwWuCiiBjcdQMer8fbpe63PdV/zP/VNN4lLdT1fmB6Zv5qad5MbTfgMeC2pvquBYZQbVXpeh+/y8zHu16Ymc8DV/Zind2KiK3r3TYzqK7APY9qa9LG3XT/eWYubKjlVmBqXSf16wax6Od+BzCLVz53qTju7pHUG3tS/Uc4C3gsM+d00+dvTc9H1PfX9TDmM/X9OvX9jKblzc+7MxyY1kK/7owANqQKBD2NDVV9f+pmeSv1LVFErA9cT7WF5PPAX6mCyteBTVtc7wyqXTrwyuf+cDf94JX3JRXHkCKpN/6Urxzd05PmI3mequ8PAP6nm/5d81G6ws3awF8alq/dQl0zgXe00K87TwGPAnv3sHxKff+3Hmpppb5W7EY1j2bvzJza1RgRq/bQv6daJtWPuz739/NKEGz0VDdtUhEMKZKWl9uogsiozDxvMf3uABZShYXTGtr3aWEd1wL7RMQemdnT7pe59f0qvBKMAK6hOu/L7Mz882LWcTtwbESs37XLJyKGUU1ubYeuMPLyFp2IeBvVHJKp3fT/aESM7drlExE7UU0Ovr1e/huqz3ODzPxNm2qUlgtDiqTlIjOfi4hjge9FxFrA1VQTadcFRgM3ZebFmflARFwMfK0+9PdOqq0A/6+F1VwIfAb4aUScShV4Vqc6uuc/6/BxX9336Ii4GliQmXdRzas5ELg+Ir4F3AMMBTYC/plqgukLwLeBz1EdQTOWV47ueXEpPo7hEfHRbtonU+0Omw+cX9exDtVRTn+l+9NGrA5cERHjgbWAU4GHgPOhOpdMRHwT+G5EbAz8FpgDrE81X+WczLxxKWqXlhtDiqTlJjPHR8TjVP+pf5Lqd9A0YCKv7J6A6oih2cAxVEHhhrr/Yk8nn5nzIuL9VOdCObS+fwq4lWqSL8AEqsm+n6M6+VxQHYU0LyI+ABxXv/bNwPPAI8BVVEf0kJkzI+IfgTOB8+rxf1C/l1bPursJcGk37cdm5hkR8SmqQ7R/Va//OKrdQGO6ec2pwCiqI52GATcCh2d9+HFd8/ERcT9wWH1LqgnL11MFGqlI8erJ95IkSWXwEGRJklQkQ4okSSqSIUWSJBXJkCJJkopkSJEkSUUypEiSpCIZUiRJUpEMKZIkqUiGFEmSVKT/A6d4+kwZ0EoeAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "precisions = []\n",
    "recalls = []\n",
    "f1s = []\n",
    "accuracies = []\n",
    "\n",
    "with torch.no_grad():\n",
    "    model.eval()\n",
    "    for datas, labels in dataloaders['test']: # 测试集624张图片，BATCH_SIZE 每一批128张\n",
    "        datas, labels = datas.to(device), labels.to(device)\n",
    "        \n",
    "        outputs = model(datas)\n",
    "                \n",
    "        precision, recall, f1 = metrics(outputs, labels)\n",
    "        \n",
    "        acc = accuracy(outputs, labels)\n",
    "        \n",
    "        # 保存结果\n",
    "        precisions.append(precision)\n",
    "        recalls.append(recall)\n",
    "        f1s.append(f1)\n",
    "        accuracies.append(acc.item())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "69944a51",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['94.12%', '95.95%', '95.52%', '89.33%', '94.29%']"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['{:.2f}%'.format(pre*100) for pre in precisions]  # 精准率 precision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "3cadacc7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['83.12%', '87.65%', '85.33%', '83.75%', '85.71%']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['{:.2f}%'.format(r*100) for r in recalls] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d86bfe45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['88.28%', '91.61%', '90.14%', '86.45%', '89.80%']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['{:.2f}%'.format(f*100) for f in f1s]  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "4538b496",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['86.72%', '89.84%', '89.06%', '83.59%', '86.61%']"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "['{:.2f}%'.format(a*100) for a in accuracies]  # 准确率 accuracy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9de84d07",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "pytorch-cv",
   "language": "python",
   "name": "pytorch-cv"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
